Oracle Supply Chain Planning

Sense, predict, and shape demand for better outcomes

Next-generation demand management incorporating replenishment planning, segmentation capabilities, new product introduction, and machine learning for planners.

Sense demand to improve visibility

Transform qualitative and quantitative signals from diverse sources into business insights.

Analyze demand by segment

Dynamically group items, locations, and customers with similar behavior into segments that share a demand profile.

Predict demand to manage variability

Use machine learning to generate more accurate forecasts, while measuring and tracking the root cause of forecast error.

Evaluate the impact of demand changes

Analyze the cause and effect of seasonality, promotional events, product attributes, and leading indicators to make adjustments to inventory.

Shape demand to achieve business objectives

Simulate forecast scenarios, collaborate with stakeholders, and manage new product introductions to improve business performance.

Establish a robust demand plan for your manufacturing strategy

Track changes, monitor exceptions, and synchronize with S&OP and supply plans to ensure a well-functioning process.

Enable demand-driven replenishment

Make replenishment planning easy and effective. Drive more accurate fulfillment with tailored inventory policies and consumption rules to demand segments.

Plan for customer-centric demand

Integrate demand-driven consumption, inventory and fulfillment to meet customer-specific requirements.

Predict consumption to optimize service levels

Forecast demand to anticipate seasonal, trend, and event-based changes and keep supply within inventory thresholds.

Segment the supply chain using flexible rules

Automatically assign inventory policies to groups of item locations that have similar replenishment requirements.

Tailor inventory policy to demand segments

Select and compare the effect of different inventory policy parameters on stockouts, overstocks, and inventory costs.

Simulate and resolve replenishment issues

Graphically simulate and adjust the replenishment strategy for individual items and locations to improve performance.

Automate continuous replenishment

Calculate replenishment requirements and release of planned orders automatically as consumption occurs.

Optimize resources for service and cost

Identify and execute the best supply to demand plans. Plan items across multi-tier locations, identify and address the most important problems, and simulate potential responses to optimize customer service and the cost of inventory.

Unify planning processes

Balance demand and supply, optimize inventory for service and cost, and plan for multiple material and capacity scenarios.

Plan the entire supply chain

Plan process, discrete, project-driven, configure-to-order, and outsourced production, as well as drop-ship and back-to-back fulfillment.

Monitor and prioritize supply problems

Use embedded analytics to review impact on KPIs, such as margin and turns, and navigate to focus on problem areas.

Predict and proactively respond to disruptions

Review and collaborate on planned supply order changes with internal and external stakeholders. Utilize built-in machine learning or integration to IoT systems.

Improve production efficiency

Schedule production during the day to maximize use of bottleneck resources and available components. Reduce work in process inventory, waste, and expedites. Visualize how work order operations are allocated to resources. Drag and drop to simulate the best response to issues or changes, and release schedules for execution in real time.

Create high quality, executable schedules

Use real-time resource availability and work orders in Oracle Cloud Manufacturing to create feasible schedules that take the latest material, capacity, and calendar constraints into account.

Optimize changeovers to minimize downtime

Increase throughput and asset utilization with schedules that make efficient changeovers based on your industry attributes, minimizing idle time.

Resolve shop floor bottlenecks

Schedule work order operations with your desired attribute sequence to maximize the efficiency of your production lines. Reduce bottlenecks by offloading to alternate resources.

Simulate the impact of schedule changes

Easily inspect schedules and analyze production issues in a visual Gantt chart. Make drag and drop adjustments and edit dispatch lists as necessary. Run quick, in-line simulations and what-ifs to resolve issues.

Minimize the effect of unplanned downtime

Run and repair schedules dynamically to deal with unexpected machine outages, labor shortages, material delays, and changes in order priorities. Release adjusted schedules as needed during the day for instant shop floor execution.

Proactively monitor your shop floor

Evaluate how your factory is scheduled at a glance, with interactive analytics that reveal insights about changeover time, resource utilization, and late orders.

Learn more about executing your production schedule with Oracle Cloud Manufacturing

Intelligently manage open orders

Prioritize your open orders to reduce delivery delays, increase sales, or achieve margin targets when supply or demand changes. Simulate multiple fulfillment alternatives, and select those that best meet your business objectives.

React intelligently to supply and demand changes

Use available supply to schedule new orders and reduce delays while respecting existing promise dates.

Fulfill the most important orders first

Prioritize orders in the backlog using flexible business rules that maximize order revenue, margin, and service.

Solve sourcing and fulfillment problems

Model what-if changes to sourcing, transit mode, and shipping constraints to respond quickly and find the best solutions.

Perform what-if order planning

Simulate the scheduling and availability impact of a potential order on the rest of the backlog.